Justin Engelmann

According to our database, Justin Engelmann authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Applicability of oculomics for individual risk prediction: Repeatability and robustness of retinal Fractal Dimension using DART and AutoMorph.

Justin Engelmann, Diana Moukaddem, Lucas Gago, Niall C. Strang, Miguel O. Bernabeu

CoRR, 2024

2023

Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography.

Justin Engelmann, Jamie Burke, Charlene Hamid, Megan Reid-Schachter, Dan Pugh, Neeraj Dhaun, Diana Moukaddem, Lyle Gray, Niall C. Strang, Paul McGraw, Amos J. Storkey, Paul J. Steptoe, Stuart King, Tom J. MacGillivray, Miguel O. Bernabeu, Ian J. C. MacCormick

CoRR, 2023

Efficient and fully-automatic retinal choroid segmentation in OCT through DL-based distillation of a hand-crafted pipeline.

Jamie Burke, Justin Engelmann, Charlene Hamid, Megan Reid-Schachter, Tom Pearson, Dan Pugh, Neeraj Dhaun, Stuart King, Tom J. MacGillivray, Miguel O. Bernabeu, Amos J. Storkey, Ian J. C. MacCormick

CoRR, 2023

QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models.

Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu

Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

2022

Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning.

Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick, Emma Pead, Amos J. Storkey, Miguel O. Bernabeu

Nat. Mac. Intell., December, 2022

Detection of multiple retinal diseases in ultra-widefield fundus images using deep learning: data-driven identification of relevant regions.

Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick, Emma Pead, Amos J. Storkey, Miguel O. Bernabeu

CoRR, 2022

Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation.

Justin Engelmann, Ana Villaplana-Velasco, Amos J. Storkey, Miguel O. Bernabeu

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

2021

Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning.

Justin Engelmann, Stefan Lessmann

Expert Syst. Appl., 2021

Global explainability in aligned image modalities.

Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu

CoRR, 2021